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Evidence-backed sales signals

Research your accounts. Inspect the evidence.

Bring a List of companies. Kaiju researches supported sources and records evidence-backed Signals. Open the findings, dates and coverage before deciding where to focus.

Illustrative preview: Fit scores, Buying Windows and Priority views shown below are planned beyond V1.

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Q3 target accounts

258 accounts · fit, signals, filters, and evidence kept distinct

Account intelligence228 websites ready · 37 contacts verifiedChecking technology
64 Adobe Commerce41 Drupal52 Shopify Plus30 websites missing
6 example accounts match the current filters
6 example rows25 rows per page

The sales problem

Your account list keeps growing. Your team’s time doesn’t.

A hiring push, new leader, technology change, funding event, or other trigger can make an account worth another look. These signals are easy to miss across the web, CRM, and research tools.

  1. 01

    Good accounts blend into the list.

    Research gives your team evidence to decide which accounts deserve a closer look.

  2. 02

    Important changes happen between CRM updates.

    Leadership, hiring, technology, funding, and other changes can appear before anyone updates the CRM.

  3. 03

    Research takes time, and useful proof gets lost.

    Reps chase context across tabs. Research depth varies, and the source behind a useful signal gets lost.

What changes for sales

Open the list and know where to start.

Relevant changes stand out with enough context to decide whether the account deserves a closer look.

A good-fit account with a reason to look now

A qualified account becomes more timely when a relevant condition changes.

Know what happened and why it matters

See supported Signals with their dates and underlying evidence.

See the proof before outreach

Trace the conclusion back to its sources before outreach.

How Kaiju works

Add companies. Run Research. Review the results.

Start with a List of companies or a CSV. Research supplies evidence for the supported Signal definitions.

  1. 01

    Choose the companies to research

    Add companies to a List and provide the context your team uses to assess them.

  2. 02

    Run Research

    Kaiju checks supported sources. Supported Signal definitions evaluate the accepted evidence.

  3. 03

    Inspect the findings

    Filter your List using supported facts. Open Signals and their evidence before taking action.

Research coverage

Check the evidence behind relevant changes.

Coverage depends on the research unit and available sources. These are research topics; only supported definitions with sufficient evidence produce Signals.

01

Technology

A platform is installed, removed, or replaced

Spot migrations, modernization work, expansion, or a new competitive opening.

02

People

A relevant leader joins or a buying group changes

See changes in ownership, priorities, or the people your team should understand.

03

Hiring

A team starts growing

See where a company is investing and which teams are gaining weight.

04

Company activity

Funding, expansion, acquisitions, and other company events

Use dated funding, expansion, acquisition, and other company events when they affect the problem you solve.

The V1 workflow

From your List to the supporting evidence.

Add companies to an explicit List, run Research, and review supported Signals. Dynamic Lists, automated Fit and Priority scoring, Buying Windows and continuous market monitoring are planned beyond V1.

Lists

Which companies should Kaiju research?

Research

What can the supported sources establish?

Signals

Which supported changes have evidence?

Evidence

Which sources, dates and coverage support the result?

Proof behind the signal

Keep the evidence attached to the signal.

See the source, date, supporting observations, and what remains unknown before acting on a conclusion. The illustrative preview includes planned Fit and Buying Window views.

  • Open the sources and observations behind a fact or signal
  • See when the event happened and when Kaiju observed it
  • Keep freshness, coverage, conflicts, and unknowns visible
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Researched account profile

Alder & Finch Retail matches the current target criteria based on observed technology, technical findings, recent public changes, and people context. The evidence supports deeper review; it does not prove budget or an active buying project.

TechnologyAdobe CommerceObserved on public site
SignalCommerce team expansionTrigger · Hiring acceleration observed 9d ago
Relevant personMaya ChenVP, Digital Experience
Buying WindowPossibleStrong fit + recent hiring signal
The findings show what Kaiju observed. They do not establish budget, dissatisfaction, an active project, or readiness to change.
FitStrong fitICP + supported account facts
SignalCommerce team expansionTrigger · Hiring acceleration observed 9d ago
Evidence4 accessibility issues recurObserved condition; inspect before acting
RelationshipNo prior outreachInteraction memory
Talking pointsStart here, then open proof only when needed.3 evidence-backed items

CRM + Kaiju

Your CRM adds the signals the public web cannot see.

CRM activity can add first-party evidence the public web cannot see. Twenty is the first CRM integration in development.

Available now

Available

Start with the accounts you already know

Keep the IDs and fields your team already uses while Kaiju adds research and evidence.

Priority integration

In development

Twenty brings first-party sales activity into the picture

Opportunity changes, stakeholders, notes, and activity can support Intent, Mobilization, and Progression signals.

Target model

Target

Send the context back to the workflow

Send reviewed accounts and evidence to CRM, CSV Exports, or Webhooks.

Questions before you start

What teams usually want to know.

What is a signal in Kaiju?

A Signal is a dated, evidence-backed result produced when a supported definition is satisfied. Coverage and the underlying evidence determine which changes Kaiju can establish.

Can we define our own Signals in V1?

V1 uses the supported Signal catalog. Customer-defined Signals and continuous market monitoring are planned beyond V1.

Does a signal mean the company is ready to buy?

No. A signal can justify attention without proving budget, an active buying project, dissatisfaction, or vendor choice.

Are Dynamic Lists available in V1?

Dynamic Lists are planned beyond V1. V1 uses explicit Lists: you choose their members and filter the current results. Saved rules that automatically change membership are future work.

How do we know why an account was surfaced?

Open the account to inspect supported findings, Signals, dates, sources and coverage. Missing evidence can remain unknown.

Start with your market

Find the accounts worth your team’s time.

Bring the accounts you want to research. Inspect the findings and evidence before choosing the next step.

Privacy choices

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These choices control optional browser tracking on Kaiju's public website. The app asks separately for identified product analytics. Turning Analytics off here also stops optional app analytics. These choices do not change information you intentionally submit through a contact, evaluation, or meeting form.

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